Critical Indices and Amplitudes

2009 ◽  
pp. 45-88
Keyword(s):  
Critical Indices

Inequalities for Critical Indices near Gas–Liquid Critical Point

1968 ◽  
Vol 49 (9) ◽  
pp. 3977-3987 ◽  
Author(s):  
Teresa Ree Choy ◽  
Francis H. Ree
Keyword(s):  
Critical Point ◽  
Critical Indices

Weak-coupling series and the critical indices ofZpspin systems in two dimensions

1980 ◽  
Vol 22 (7) ◽  
pp. 3378-3384 ◽  
Author(s):  
C. J. Hamer ◽  
John B. Kogut
Keyword(s):  
Weak Coupling ◽  
Two Dimensions ◽  
Critical Indices

Ising-Model Critical Indices below the Critical Temperature

1967 ◽  
Vol 155 (2) ◽  
pp. 545-552 ◽  
Author(s):  
George A. Baker ◽  
David S. Gaunt
Keyword(s):  
Critical Temperature ◽  
Ising Model ◽  
Critical Indices

Topological constraints on polymer rings and critical indices

1979 ◽  
Vol 40 (7) ◽  
pp. 665-670 ◽  
Author(s):  
J. des Cloizeaux ◽  
M.L. Mehta
Keyword(s):  
Critical Indices ◽  
Topological Constraints

Critical indices and model of uncertainty perception for regional supply chains: insights from a Delphi-based study

2020 ◽  
Vol 25 (5) ◽  
pp. 549-564 ◽  
Author(s):  
Christopher M. Durugbo ◽  
Zainab Al-Balushi ◽  
Abdellatef Anouze ◽  
Omar Amoudi
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Content Type ◽  
Critical Indices ◽  
International Firms ◽  
Uncertainty Sources ◽  
Delphi Round ◽  
Delphi Exercise ◽  
Uncertainty Indices ◽  
Insight Into

Purpose The dynamic nature of uncertainty sources in regional operations represents supply chain management (SCM) imperatives to review uncertainty management frameworks on an ongoing basis with a view to identifying and prioritising critical indices of uncertainty for effective SCM. The purpose of this study is to identify the critical indices of uncertainty for regional supply chains and analyse how SCM practitioners perceive uncertainty. Design/methodology/approach This paper presents a Delphi-based study with a panel of 70 SCM experts from the Sultanate of Oman in the Gulf Cooperation Council (GCC) region. It applies three rounds of a Delphi exercise to identify, select and prioritise the critical indices of supply chain uncertainty perceived by panel experts. The thematic analysis also provides theorisations on the process for uncertainty perception and factors shaping perception. Findings A total of 39 uncertainty indices were identified from demand, supply, manufacturing, control, technology, competitive, project, transport and geological sources. The Delphi selection round captured the top 12 indices of experts. The research found an accumulative–aggregative duality that explains uncertainty perception and a cost–conformance–connection triadic set of factors underlying the perceived critical indices. Project uncertainty produced the top-ranked index in the final Delphi round. Originality/value This paper makes three main contributions. First, it offers a bottom-up based insight into supply chain uncertainty using the Delphi-based study and from a GCC perspective. Second, the research is unique in its focus on Oman and, third, it is of value for the international operations of GCC companies and for international firms with intentions of expanding, moving or outsourcing their operations to a GCC country such as Oman.

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